| Abstract |
As society evolves, moving forward into the realms of Industry 5.0, it is imperative to develop a robust collaborative talent management model that can endure external crises such as the recent Covid-19 pandemic. Despite the antiquity of collaborative practices-traceable back to early human societies-both practitioners and academics have frequently focused primarily on exploring the catalysts for collaboration, often neglecting to provide a holistic conceptualization of effective human collaboration. In alignment with the Sustainable Development Goals, this paper endeavors to critically review and delineate the evolution of talent management and collaborative intelligence literature. Employing a systematic review methodology, this study aims to formulate a novel framework for collaborative talent management, drawing upon the principles of a collaborative intelligence mindset, and to suggest avenues for future research in this domain. The findings propose the employment of collaborative intelligence through a mindset perspective as a means to bridge the literature gaps identified in areas such as interdisciplinary and cross-sector collaboration, digitalization and artificial intelligence, collaborative leadership styles, and performance measurement within the field. Purpose: The study sought to devise an updated approach to talent management suitable for a rapidly evolving world, particularly in light of challenges posed by events like the Covid-19 pandemic. Methods: A systematic review of existing literature was conducted to trace the evolution of human collaboration and the management of talent. Conclusions: The review identified noticeable gaps in current understanding, especially pertaining to interdisciplinary collaboration, the integration of digital tools and AI, collaborative leadership approaches, and performance metrics. It is posited that embracing "collaborative intelligence," a mindset focused on effective teamwork, can address these identified gaps. Implications: Adopting the strategies proposed in this study might equip businesses and organizations to navigate future challenges more adeptly, remain contemporary in the era of AI, and foster an environment characterized by enhanced collaboration. Limitations: The study's conclusions are inherently contingent upon the quality and breadth of the existing literature reviewed. Some areas or relevant studies might not have been explored, and empirical validation of the proposed strategies remains essential for ascertaining their effectiveness. |